<p>This tutorial shows how to use the Random Forest method in H<sub>2</sub>O for model training and classification.</p>

<p>Random forest uses an ensemble of decision trees to make regression and classification models. The trees are built from a training dataset and can be used to make predictions on a test dataset.</p>

<p>
Vocabulary:
<ul>
  <li><a href="http://en.wikipedia.org/wiki/Random_forest">Random Forest</a></li>
  <li><a href="http://en.wikipedia.org/wiki/Dataset">Dataset</a></li>
  <li><a href="http://en.wikipedia.org/wiki/Statistical_classification">Classification</a></li>
</ul>
</p>
